Abstract
Lung Cancer is a leading cause of death worldwide, and about 85% of lung cancer is non-small cell lung cancer (NSCLC). The staging of lymph nodes in NSCLC patients is extremely important because respective stages require different treatments. FDG-PET/CT is a gold standard for lymph node metastasis staging of NSCLC. However, the results of discriminating lymph node staging on 18F-2-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET)/computed tomography (CT) still needs improvement. In addition to the traditional image parameters of FDG-PET/CT such as standardized uptake value (SUV), there are many other parameters available from FDG-PET/CT images, for example, the lymphatic drainage pathway. For the purpose of a better accuracy on lymph node metastasis diagnosis on NSCLC patient in FDG-PET/CT, this research developed a computer-aided diagnosis (CAD) system to improve the diagnostic efficiency, which achieved an accuracy of 85%, a sensitivity of 82% and a specificity of 85%.
| Original language | English |
|---|---|
| Title of host publication | Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019 |
| Editors | Kang-Ping Lin, Ratko Magjarevic, Paulo de Carvalho |
| Publisher | Springer |
| Pages | 138-142 |
| Number of pages | 5 |
| ISBN (Print) | 9783030306359 |
| DOIs | |
| Publication status | Published - 2020 Jan 1 |
| Event | 4th International Conference on Biomedical and Health Informatics, ICBHI 2019 - Taipei, Taiwan Duration: 2019 Apr 17 → 2019 Apr 20 |
Publication series
| Name | IFMBE Proceedings |
|---|---|
| Volume | 74 |
| ISSN (Print) | 1680-0737 |
| ISSN (Electronic) | 1433-9277 |
Conference
| Conference | 4th International Conference on Biomedical and Health Informatics, ICBHI 2019 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 19-04-17 → 19-04-20 |
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All Science Journal Classification (ASJC) codes
- Bioengineering
- Biomedical Engineering
Cite this
}
Automatic Classification of Lymph Node Metastasis in Non-Small-Cell Lung Cancer (NSCLC) Patient on F-18-FDG PET/CT. / Cheng, Tsu Chi; Chiu, Nan Tsing; Fang, Yu Hua.
Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019. ed. / Kang-Ping Lin; Ratko Magjarevic; Paulo de Carvalho. Springer, 2020. p. 138-142 (IFMBE Proceedings; Vol. 74).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Automatic Classification of Lymph Node Metastasis in Non-Small-Cell Lung Cancer (NSCLC) Patient on F-18-FDG PET/CT
AU - Cheng, Tsu Chi
AU - Chiu, Nan Tsing
AU - Fang, Yu Hua
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Lung Cancer is a leading cause of death worldwide, and about 85% of lung cancer is non-small cell lung cancer (NSCLC). The staging of lymph nodes in NSCLC patients is extremely important because respective stages require different treatments. FDG-PET/CT is a gold standard for lymph node metastasis staging of NSCLC. However, the results of discriminating lymph node staging on 18F-2-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET)/computed tomography (CT) still needs improvement. In addition to the traditional image parameters of FDG-PET/CT such as standardized uptake value (SUV), there are many other parameters available from FDG-PET/CT images, for example, the lymphatic drainage pathway. For the purpose of a better accuracy on lymph node metastasis diagnosis on NSCLC patient in FDG-PET/CT, this research developed a computer-aided diagnosis (CAD) system to improve the diagnostic efficiency, which achieved an accuracy of 85%, a sensitivity of 82% and a specificity of 85%.
AB - Lung Cancer is a leading cause of death worldwide, and about 85% of lung cancer is non-small cell lung cancer (NSCLC). The staging of lymph nodes in NSCLC patients is extremely important because respective stages require different treatments. FDG-PET/CT is a gold standard for lymph node metastasis staging of NSCLC. However, the results of discriminating lymph node staging on 18F-2-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET)/computed tomography (CT) still needs improvement. In addition to the traditional image parameters of FDG-PET/CT such as standardized uptake value (SUV), there are many other parameters available from FDG-PET/CT images, for example, the lymphatic drainage pathway. For the purpose of a better accuracy on lymph node metastasis diagnosis on NSCLC patient in FDG-PET/CT, this research developed a computer-aided diagnosis (CAD) system to improve the diagnostic efficiency, which achieved an accuracy of 85%, a sensitivity of 82% and a specificity of 85%.
UR - http://www.scopus.com/inward/record.url?scp=85075806220&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075806220&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30636-6_20
DO - 10.1007/978-3-030-30636-6_20
M3 - Conference contribution
AN - SCOPUS:85075806220
SN - 9783030306359
T3 - IFMBE Proceedings
SP - 138
EP - 142
BT - Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019
A2 - Lin, Kang-Ping
A2 - Magjarevic, Ratko
A2 - de Carvalho, Paulo
PB - Springer
ER -